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organismal domains and data modalities, making use of state-of-the-art methodologies such as systems/network analysis, artificial intelligence and machine learning and/or computational modelling approaches
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intelligence and machine learning and/or computational modelling approaches. Moreover, the candidate will have a leading role in expanding and professionalizing the growing computational biology research
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, artificial intelligence and machine learning and/or computational modelling approaches. Moreover, the candidate will have a leading role in expanding and professionalizing the growing computational biology
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in the fields of control and systems theory, cyber-physical systems, optimization, artificial intelligence, machine learning, and systems engineering.
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into Planning Support Systems (PSS) — the tools and models planners and stakeholders use to co-design urban futures. Your work will develop, test and critically evaluate AI components that support scenario
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-computer interaction, or related field. Interest and experience with AI/ML concepts and demonstrated ability to learn technical tools quickly. Experience or interest in urban planning and climate adaptation
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learning, and systems engineering. Where to apply Website https://www.academictransfer.com/en/jobs/354917/phd-postdoc-on-model-predictive… Requirements Specific Requirements We are looking for talented
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Professor who dares to push boundaries—an ambitious leader with expertise in applying machine learning and artificial intelligence to unlock the complexity of biological systems. Your colleagues: At MaCSBio
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. Main areas of interest are source coding, channel coding, multi-user information theory, security, and machine learning. We typically use information-theoretical frameworks to model the scenarios under
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infrastructure, including facility blueprints and model factories. Proficiency in the integration of automation technologies, including robotics, real-time data analytics, artificial intelligence/machine learning